UNPRI FAST Faculty of Science and Technology Earns “Excellent” Accreditation: Shaping the Next Generation of Data Scientists in North Sumatra

UNPRI, Medan – The Faculty of Science and Technology (FAST) at Universitas Prima Indonesia (UNPRI) proudly presents its Informatics Engineering Program, which has achieved an “Excellent” accreditation from the National Accreditation Board for Informatics, Computing, and Statistics (LAN-INFOKOM). This outstanding achievement makes UNPRI the only private university in North Sumatra offering a high-quality and top-rated Informatics Engineering program. With its many advantages, FAST UNPRI has become the top choice for aspiring students who wish to pursue the field of IT, especially Data Science, which continues to lead the global industry.

The Dean of FAST UNPRI, Prof. Ir. Bhakti Alamsyah, MT., Ph.D., and the Head of Informatics Engineering Study Program, Dr. Yennimar, S.Pd., M.Kom., emphasized that the strength of the program lies not only in its modern facilities and supportive learning environment but also in its innovative curriculum tailored to meet the demands of the digital era. “Think Data Science, think Data Scientist, think UNPRI Informatics Engineering,” they affirmed, positioning UNPRI as the best place to prepare for a career in this growing field.

The program focuses on Data Science specialization, equipping students with analytical skills in big data, predictive modeling, and developing Artificial Intelligence (AI)-based solutions. Informatics Engineering UNPRI is the smart choice for the future, meeting the rising global demand for data professionals.

Many people believe that studying Data Science is expensive and difficult to access, but UNPRI proves otherwise. With flexible and affordable payment options, high-quality education is now accessible to everyone. Students are guided by professional lecturers and experts, supported by advanced computer laboratories and complete facilities.

The curriculum is based on Outcome-Based Education (OBE), allowing students from diverse academic backgrounds to start with the fundamentals of Python and Java programming before advancing to complex data science and analytics concepts.

Becoming a Data Scientist opens vast and high-paying career opportunities. In today’s digital era, this profession is in high demand across various sectors such as finance, healthcare, telecommunications, and government. Entry-level data scientists in Indonesia earn around IDR 8–15 million per month, with potential earnings of IDR 20–30 million or more as experience and expertise grow. Career paths include Machine Learning Engineer, Data Engineer, and AI Specialist, offering dynamic and challenging opportunities.

In addition to Data Science, FAST UNPRI students also study Cyber Security and Software Development, combining theory and practice in data processing, machine learning modeling, and data visualization using software such as Tableau and Matplotlib. Alongside technical expertise, students also develop soft skills such as communication and problem-solving to enhance collaboration and workplace efficiency.

The learning process takes place in an innovative academic atmosphere that fosters creativity and cutting-edge technology research. Interested in becoming a future Data Scientist? The UNPRI Informatics Engineering Program is open for registration through www.unprimdn.ac.id or by visiting the main campus at Jalan Sampul No. 3 Medan Petisah.

Since its launch in 2005, many graduates have successfully pursued careers as Data Scientists and IT professionals in leading national and international companies. Some have become independent entrepreneurs with innovative tech projects. UNPRI actively prepares students to become ethical and visionary leaders with strong socio-technopreneurship insight based on IT. Professional lecturers are ready to guide students to excel academically and practically in the global digital industry.

Don’t miss this golden opportunity to achieve your dream of becoming a skilled and globally competitive Data Scientist! (Yd)